





from __future__ import annotations


class 		lowerCamelCase  :







							"""simple docstring"""




							def __init__(   self      :	str,					_UpperCAmelCase      :	int = 0		) ->					Union[str, Any]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__  :     Union[str, Any]           =		key






							def    A_      (   self      :	int,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int		) ->					Tuple:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														SCREAMING_SNAKE_CASE__  :     List[str]           =		key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_5_5

														return [chr(ord(UpperCamelCase_		) ^ key		) for ch in content]






							def    A_      (   self      :	int,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int		) ->					List[str]:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														SCREAMING_SNAKE_CASE__  :     Tuple           =		key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_5_5

														return [chr(ord(UpperCamelCase_		) ^ key		) for ch in content]






							def    A_      (   self      :	Tuple,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int = 0		) ->					Union[str, Any]:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														SCREAMING_SNAKE_CASE__  :     Tuple           =		key or self.__key or 1

														# make sure key can be any size
														while key > 2_5_5:
																					key -= 2_5_5

														# This will be returned
														SCREAMING_SNAKE_CASE__  :     List[str]           =		""

														for ch in content:
																					ans += chr(ord(UpperCamelCase_		) ^ key		)

														return ans






							def    A_      (   self      :	int,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int = 0		) ->					List[str]:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														SCREAMING_SNAKE_CASE__  :     str           =		key or self.__key or 1

														# make sure key can be any size
														while key > 2_5_5:
																					key -= 2_5_5

														# This will be returned
														SCREAMING_SNAKE_CASE__  :     Dict           =		""

														for ch in content:
																					ans += chr(ord(UpperCamelCase_		) ^ key		)

														return ans






							def    A_      (   self      :	Any,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int = 0		) ->					str:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														try:
																					with open(UpperCamelCase_		) as fin, open("encrypt.out",					"w+"		) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.encrypt_string(UpperCamelCase_,					UpperCamelCase_		)		)

														except OSError:
																					return False

														return True






							def    A_      (   self      :	Tuple,					_UpperCAmelCase      :	str,					_UpperCAmelCase      :	int		) ->					int:





														"""simple docstring"""
														assert isinstance(UpperCamelCase_,					UpperCamelCase_		) and isinstance(UpperCamelCase_,					UpperCamelCase_		)

														try:
																					with open(UpperCamelCase_		) as fin, open("decrypt.out",					"w+"		) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.decrypt_string(UpperCamelCase_,					UpperCamelCase_		)		)

														except OSError:
																					return False

														return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")














"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_big_bird import BigBirdTokenizer
else:
 snake_case : Tuple     		=		None

snake_case : Tuple     		=		logging.get_logger(__name__)
snake_case : List[Any]     		=		{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

snake_case : Dict     		=		{
    """vocab_file""": {
        """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model""",
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"""
        ),
    },
    """tokenizer_file""": {
        """google/bigbird-roberta-base""": (
            """https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"""
        ),
    },
}

snake_case : int     		=		{
    """google/bigbird-roberta-base""": 4_0_9_6,
    """google/bigbird-roberta-large""": 4_0_9_6,
    """google/bigbird-base-trivia-itc""": 4_0_9_6,
}


snake_case : List[str]     		=		"""▁"""



class        UpperCamelCase__ (				a_):







    """simple docstring"""
    __UpperCAmelCase           = VOCAB_FILES_NAMES
    __UpperCAmelCase           = PRETRAINED_VOCAB_FILES_MAP
    __UpperCAmelCase           = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCAmelCase           = BigBirdTokenizer
    __UpperCAmelCase           = ["""input_ids""", """attention_mask"""]
    __UpperCAmelCase           = []







    def __init__(		self :	Optional[int]				,    UpperCamelCase_ :	int=None				,    UpperCamelCase_ :	Dict=None				,    UpperCamelCase_ :	int="<unk>"				,    UpperCamelCase_ :	Tuple="<s>"				,    UpperCamelCase_ :	int="</s>"				,    UpperCamelCase_ :	Union[str, Any]="<pad>"				,    UpperCamelCase_ :	Optional[Any]="[SEP]"				,    UpperCamelCase_ :	int="[MASK]"				,    UpperCamelCase_ :	Tuple="[CLS]"				,    **UpperCamelCase_ :	Optional[Any]				,    ):





           '''simple docstring'''

           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else bos_token
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else eos_token
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else unk_token
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else pad_token
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else cls_token
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else sep_token

           # Mask token behave like a normal word, i.e. include the space before it
           __magic_name__      				=    AddedToken(UpperCamelCase_				,    lstrip=UpperCamelCase_				,    rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_				,    UpperCamelCase_ ) else mask_token

           super().__init__(
               UpperCamelCase_				,    tokenizer_file=UpperCamelCase_				,    bos_token=UpperCamelCase_				,    eos_token=UpperCamelCase_				,    unk_token=UpperCamelCase_				,    sep_token=UpperCamelCase_				,    pad_token=UpperCamelCase_				,    cls_token=UpperCamelCase_				,    mask_token=UpperCamelCase_				,    **UpperCamelCase_				,    )

           __magic_name__      				=    vocab_file
           __magic_name__      				=    False if not self.vocab_file else True







    def 				a__			(		self :	Union[str, Any]				,    UpperCamelCase_ :	List[int]				,    UpperCamelCase_ :	Optional[List[int]] = None ):





           '''simple docstring'''

           __magic_name__      				=    [self.sep_token_id]
           __magic_name__      				=    [self.cls_token_id]
           if token_ids_a is None:
                  return cls + token_ids_a + sep
           return cls + token_ids_a + sep + token_ids_a + sep







    def 				a__			(		self :	Optional[Any]				,    UpperCamelCase_ :	List[int]				,    UpperCamelCase_ :	Optional[List[int]] = None				,    UpperCamelCase_ :	bool = False ):





           '''simple docstring'''

           if already_has_special_tokens:
                  if token_ids_a is not None:
                         raise ValueError(
                             'You should not supply a second sequence if the provided sequence of '
                             'ids is already formatted with special tokens for the model.' )
                  return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

           if token_ids_a is None:
                  return [1] + ([0] * len(UpperCamelCase_ )) + [1]
           return [1] + ([0] * len(UpperCamelCase_ )) + [1] + ([0] * len(UpperCamelCase_ )) + [1]







    def 				a__			(		self :	Optional[Any]				,    UpperCamelCase_ :	List[int]				,    UpperCamelCase_ :	Optional[List[int]] = None ):





           '''simple docstring'''

           __magic_name__      				=    [self.sep_token_id]
           __magic_name__      				=    [self.cls_token_id]

           if token_ids_a is None:
                  return len(cls + token_ids_a + sep ) * [0]
           return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]







    def 				a__			(		self :	Union[str, Any]				,    UpperCamelCase_ :	str				,    UpperCamelCase_ :	Optional[str] = None ):





           '''simple docstring'''

           if not self.can_save_slow_tokenizer:
                  raise ValueError(
                      'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                      'tokenizer.' )

           if not os.path.isdir(UpperCamelCase_ ):
                  logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
                  return
           __magic_name__      				=    os.path.join(
               UpperCamelCase_				,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )

           if os.path.abspath(self.vocab_file ) != os.path.abspath(UpperCamelCase_ ):
                  copyfile(self.vocab_file				,    UpperCamelCase_ )

           return (out_vocab_file,)